1106 Senior Full Stack Python Developer jobs in Jersey City,NJ

Principal Engineer - Python API Development

Fidelity Investments

Hoboken, NJ 07030

~ 11 min OnsiteUrgently HiringEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's or Master's degree in Computer Science, Software Engineering, or a closely related engineering discipline; 8+ years (typically 10+) building and operating production platforms and services at scale.
Deep software engineering expertise in Python and distributed systems
Linux fluency and scripting are required
Cloud platform leadership (AWS) —hands‑on with S3, Lambda, Batch, Step Functions, EventBridge, CloudWatch, and SNS/SQS—and experience shaping platform patterns that other teams adopt.

SmartExplore AI is experimental.

New, Posted 6 hours ago

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Full Stack .NET Developer (Angular) - Jersey City, NJ

Experis

Jersey City, NJ 07302

HybridHealth InsuranceRetirement Benefit

Minimum 10+ years of experience in web application development using C# and .NET.
Proven experience as a full stack developer with both front-end and back-end expertise.
C#
ASP.NET MVC
Web Forms
WCF
Web API (SOAP/REST)
SQL
Angular (version 2+) and TypeScript.
Strong analytical, debugging, and performance optimization skills.

SmartExplore AI is experimental.

New, Posted 6 hours ago

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Principal Engineer - Python API Development

Fidelity Investments

Jersey City, NJ 07311

OnsiteUrgently HiringEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's or Master's degree in Computer Science, Software Engineering, or a closely related engineering discipline; 8+ years (typically 10+) building and operating production platforms and services at scale.
Deep software engineering expertise in Python and distributed systems
Linux fluency and scripting are required
Cloud platform leadership (AWS) —hands‑on with S3, Lambda, Batch, Step Functions, EventBridge, CloudWatch, and SNS/SQS—and experience shaping platform patterns that other teams adopt.

SmartExplore AI is experimental.

New, Posted 8 hours ago

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Head of AI Data Science, Intelligence Ventures

Spectrum

New York, NY 10036

~ 25 min OnsiteUrgently Hiring

Deep expertise in transformer-based sequence modeling and its application to behavioral or interaction data at consumer scale — including architecture design, training methodology, fine-tuning, and embedding quality evaluation
Proven track record developing and deploying household- or user-level embedding models applied to real-world use cases in media, marketing, commerce, and/or customer intelligence — not just research environments. Demonstrated understanding of the unique characteristics of behavioral sequence data: sparsity, temporal dynamics, multi-entity structure, and the signal differences between behavioral intent and explicit interaction
Strong command of the full data science lifecycle in production settings — from exploratory data analysis and feature engineering through model training, validation, deployment, monitoring, and iteration — at large dataset scale (billions, even trillions of records)
Hands-on proficiency with Python, PyTorch or TensorFlow, and distributed ML training frameworks; experience running ML workloads on cloud platforms (AWS SageMaker, Snowflake Cortex, Databricks, or equivalent)
Experience designing and operationalizing feature stores and predictive modeling pipelines that serve downstream intelligence products, audiences, or decision systems in production environments
Ability to communicate complex AI/ML concepts clearly to non-technical executive audiences, product stakeholders, and external partners; comfort operating as an external-facing technical spokesperson for the platform's modeling capabilities and intelligence differentiation
Track record of leading and growing high-performing data science teams; experience recruiting and developing senior ML talent in competitive markets
Genuine intellectual curiosity about the application of AI to behavioral science, consumer intelligence, and agentic systems; awareness of the evolving landscape of foundation models, retrieval-augmented generation, and multi-agent AI architectures
Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related quantitative field
Experience leading applied ML or data science teams building consumer-facing or enterprise intelligence products — 7 years
Hands-on experience designing and training transformer or deep learning models on sequential behavioral data at scale — 5 years
In-office position preferably based in New York City
Travel as required for partner engagements, executive meetings, and industry events

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Senior Specialist, Liquidity Risk

BNY

New York, NY 10007

$69,000-$95,000/yr

New, Posted 7 hours ago

DiversityJobs

Director/Senior Director, Technical Lead Forward Deployed Engineer

KPMG

Montvale, NJ 07645

New, Posted 8 hours ago

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Head of Technology, Intelligence Ventures

Spectrum

New York, NY 10036

~ 25 min OnsiteUrgently Hiring

Deep expertise across the full intelligence platform stack — including distributed data pipelines, ML platform architecture, embedding systems, feature stores, agent-to-agent API design, and LLM-powered application layers — with demonstrated ability to architect and ship all layers as a coherent, production-grade product
Demonstrated experience architecting and operating consumer data intelligence or data product platforms underpinned by complex machine learning systems and built on modern, cloud-native data infrastructure
Hands-on proficiency with Snowflake (including Cortex, Native Apps, and data sharing frameworks), cloud data platforms (AWS, Azure, or GCP), and production ML/AI systems at scale
Experience building agentic AI systems and LLM-powered product interfaces — including agent-to-agent APIs, retrieval-augmented generation architectures, and natural language UIs grounded in proprietary data — with strong product instincts around accuracy, trust, and user experience for non-technical enterprise audiences
Proven ability to translate complex technical architecture into clear executive and partner-facing communications; comfortable engaging at the C-suite level and in strategic partner negotiations with hyperscalers and technology platforms
Strong understanding of privacy-preserving data architecture, including differential privacy, de-identification techniques, zero-copy and clean room frameworks, and the regulatory landscape governing consumer behavioral data
Track record of recruiting and developing exceptional engineering talent in competitive markets; experience building high-performance teams from early-stage through scaled operations
Experience managing external development partners and outsourced engineering resources alongside an internal team in a fast-moving, build-from-scratch environment
Ability to operate in an ambiguous, early-stage environment while maintaining rigorous engineering standards and delivering against aggressive milestones
Experience building externally-consumed data or intelligence platforms — including developer-facing APIs, data marketplace integrations, or partner-accessible data products — with strong instincts around developer experience, access governance, and commercial platform design
Bachelor's Degree in Computer Science, Software Engineering, Electrical Engineering, or a related technical field
Experience leading consumer data intelligence, AI/ML platform, or data product engineering organizations — 10 years
Engineering leadership and team-building experience, including managing senior technical staff — 7 years

SmartExplore AI is experimental.

New, Posted 7 hours ago

DiversityJobs

Director/Senior Director, Technical Lead Forward Deployed Engineer

KPMG

New York, NY 10261

New, Posted 8 hours ago

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Sr Manager External Manufacturing

Kenvue

Summit, NJ 07901

Hybrid~ 26 minPaid Time Off

A minimum of a Bachelor's degree is required
A minimum of 10 years related experience in any of the following areas is required: Supply Chain/Operations, Quality, External or Internal Manufacturing, Procurement, Supply Chain Sourcing, and/or Supply Planning
Experience working with Manufacturing Operations in a GMP environment is required
An entrepreneurial self-starter with strong oral and written communication skills, comfortable communicating across functional levels is required
Strong organizational, project management, and analytical skills is required
Demonstrated effectiveness in establishing and maintaining meaningful relationships with internal and external business partners to meet tactical and strategic business needs is required
Demonstrated effectiveness leading and influencing cross-functional project teams is required
This position requires the ability to travel up to 25% domestically and internationally

SmartExplore AI is experimental.

New, Posted 7 hours ago

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